TrustRadius

Rchilli vs. Tesseract OCR

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Rchilli
Score 6.3 out of 10
N/A
Rchilli provides Resume Parsing, Matching, and Data enrichment for global recruiting platforms. Typically, they state their clients are ATS, job boards, and enterprises who need the ability to parse large amounts of resumes or jobs in a scalable manner. They need automated onboarding of candidates, and smarter matching and scoring systems to stay competitive in their markets. Rchilli can connect to any module,…N/A
Tesseract OCR
Score 0.0 out of 10
N/A
Tesseract is an optical character recognition engine available open source and free, released under the Apache License, after originally having been developed at Hewlett-Packard as a proprietary tool. It was made open source in 2005, and is supported by Google.N/A
Pricing
RchilliTesseract OCR
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
RchilliTesseract OCR
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
RchilliTesseract OCR
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RchilliTesseract OCR
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User Ratings
RchilliTesseract OCR
Likelihood to Recommend
9.6
(2 ratings)
-
(0 ratings)
User Testimonials
RchilliTesseract OCR
Likelihood to Recommend
Rchilli
This is a great tool if you need to imbed the functionality (as we have done). Perhaps not a well suited to standalone use.
Michael Yinger | TrustRadius Reviewer
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Open Source
No answers on this topic
Pros
Rchilli
  • Parsing of Candidate Resumes with good accuracy
  • Around 70 to 80 different Candidate Fields
  • Supports Individual, Bulk Online and Offline Parsing
Krishna N | TrustRadius Reviewer
Krishna N
Deputy General Manager
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Open Source
No answers on this topic
Cons
Rchilli
  • So far, we have nothing to complain about.
Michael Yinger | TrustRadius Reviewer
Read full review
Open Source
No answers on this topic
Alternatives Considered
Rchilli
We recently evaluated Azure Cognitive AI Services. It was not economical and we were asked to partner with another partner of Microsoft for specific Resume Parsing Services. Looking at the cost benefits, efficiency of parsing and ease of use of RChilli, we decided to continue with our very good partner RChilli
Krishna N | TrustRadius Reviewer
Krishna N
Deputy General Manager
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Open Source
No answers on this topic
Return on Investment
Rchilli
  • Using Rchilli saved us thousands of dollars in development costs and avoided on-going maintenance.
  • Using their taxonomy's means we don't have to maintain our own, saving us time and subscription costs.
Michael Yinger | TrustRadius Reviewer
Read full review
Open Source
No answers on this topic
ScreenShots